Accurately attributing answer text to its source document is crucial for developing a reliable
question-answering system. However, attribution for long documents remains largely …

With the increasing ability of large language models (LLMs), in-context learning (ICL) has
evolved as a new paradigm for natural language processing (NLP), where instead of fine …

Predictive models in natural language processing (NLP) have evolved from training models
from scratch to fine-tuning pre-trained models with labelled data. An extreme form of this fine …

Large language models (LLMs), when scaled from millions to billions of parameters, have
been demonstrated to exhibit the so-called'emergence'effect, in that they are not only able to …

Large language models (LLMs), when scaled from millions to billions of parameters, have
been demonstrated to exhibit the so-called 'emergence'effect, in that they are not only able …

Large language models effectively generate contextualized word representations across
languages, domains, and tasks. Drive by these abilities, these models have become a build …

The ever-increasing volume of web-based documents poses a challenge in efficiently
accessing specialized knowledge from domain-specific sources, requiring a profound …